MiDUNet: Model Inspired Deep Unfolding Network for Non-homogeneous Image Dehazing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3638128
Abstract: Optical remote sensing techniques, particularly those relying on visible optical sensors, are critical for Earth observations. However, atmospheric haze severely degrades image quality owing to light scattering effects. These effects often lead to clouds in… read more here.
Keywords: inspired deep; image; deep unfolding; image dehazing ... See more keywords
Two End-to-End Quantum-Inspired Deep Neural Networks for Text Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3130598
Abstract: In linguistics, the uncertainty of context due to polysemy is widespread, which attracts much attention. Quantum-inspired complex word embedding based on Hilbert space plays an important role in natural language processing (NLP), which fully leverages… read more here.
Keywords: quantum; classification; word; model ... See more keywords
Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1633946
Abstract: With the development of neuromorphic computing, more and more attention has been paid to a brain-inspired spiking neural network (SNN) because of its ultralow energy consumption and high-performance spatiotemporal information processing. Due to the discontinuity… read more here.
Keywords: classification; deep snn; brain; brain inspired ... See more keywords
Mycelial_Net: A Bio-Inspired Deep Learning Framework for Mineral Classification in Thin Section Microscopy
Sign Up to like & getrecommendations! Published in 2025 at "Minerals"
DOI: 10.3390/min15111112
Abstract: This study presents the application of Mycelial_Net, a biologically inspired deep learning architecture, to the analysis and classification of mineral images in thin section under optical microscopy. The model, inspired by the adaptive connectivity of… read more here.
Keywords: deep learning; classification; inspired deep; thin section ... See more keywords